Research Article

Driver and Pedestrian Trust Analysis On Integration of Autonomous Vehicles to Infrastructure of Turkey

Volume: 7 December 31, 2019
EN TR

Driver and Pedestrian Trust Analysis On Integration of Autonomous Vehicles to Infrastructure of Turkey

Abstract

Due to development in technology; technological revolution has been occurred in many sectors. The automotive sector is at the head of these technological revolutions. Autonomous vehicle technology and the development of sensors, cameras, radar and decision-making mechanisms under this technology have made the design and development of autonomous vehicles possible for every company. The aim of this study is to analyze the public's confidence in autonomous vehicles. In this study, driver and pedestrian/passenger trust was analyzed with online survey which was performed with 107 participants. Furthermore, briefly autonomous vehicle market analysis was performed with same survey and same participants. While 60,7% of participants have basics knowledge about autonomous vehicles and their systems, 10,3% of attenders didn’t have any knowledge before. The presence of autonomous vehicles in the traffic is not disturb 73,8% of participants, conversely it can be problem for 6.5% of attenders. 63,5% of participants can drive on same line with autonomous vehicle while 9,6% of attenders do not prefer that. 60,7% of respondents have trust to autonomous vehicle as pedestrian who crosses over. 56,1% of participants prefer domestic produced autonomous vehicle instead of other brand who produces autonomous vehicle and 66,3% of attenders prefer autonomous vehicle in lieu classical vehicle in case of availability. According to this analysis, majority of community in Turkey have positive perspective on autonomous vehicle.

Keywords

References

  1. NHTSA. (2018). Automated Vehicles for Safety. Retrieved from https://www.nhtsa. gov/technology-innovation/automated-vehicles-safety
  2. Begg, D. (2014). A 2050 Vision for London: What are the implications of driverless transport?.
  3. Bansal, P., Kockelman, K. M., & Singh, A. (2016). Assessing public opinions of and interest in new vehicle technologies: An Austin perspective. Transportation Research Part C: Emerging Technologies, 67, 1-14.
  4. Burns, L. D., Jordan, W. C., & Scarborough, B. A. (2013). Transforming personal mobility. The Earth Institute, 431, 432.
  5. Casley, S. V., Jardim, A. S., & Quartulli, A. M. (2013). A study of public acceptance of autonomous cars. Worcester Polytechnic Institute, Bachelor Thesis.
  6. Chen, C., & Chen, P. (2011). Applying the TAM to travelers’ usage intentions of GPS devices. Expert Systems With Applications, 38(5), 6217-6221. doi: 10.1016/j.eswa.2010.11.047
  7. De La Torre, G., Rad, P., & Choo, K. (2018). Driverless vehicle security: Challenges and future research opportunities. Future Generation Computer Systems. doi: 10.1016/j.future.2017.12.041
  8. Dikmen, M., & Burns, C. (2017, October). Trust in autonomous vehicles: The case of Tesla Autopilot and Summon. In Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on (pp. 1093-1098). IEEE.

Details

Primary Language

English

Subjects

Operation

Journal Section

Research Article

Publication Date

December 31, 2019

Submission Date

December 29, 2018

Acceptance Date

June 24, 2019

Published in Issue

Year 2019 Volume: 7

APA
Başargan, H. (2019). Driver and Pedestrian Trust Analysis On Integration of Autonomous Vehicles to Infrastructure of Turkey. Alphanumeric Journal, 7, 25-36. https://doi.org/10.17093/alphanumeric.505195

Alphanumeric Journal is hosted on DergiPark, a web based online submission and peer review system powered by TUBİTAK ULAKBIM.

Alphanumeric Journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License